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Global Intelligence Blog

Insights and Analysis for the Data-Driven Enterprise

Analyzing Data Quality

What is Data Quality, and Why is it Important?

Learn why data quality is crucial for organizations and how to address common issues like typos and inaccuracies. Discover the importance of...

Data Management

Standardizing Classifications

By David Loshin In the most recent post, we posed a straightforward problem: if we have a reporting or analytical objective that depends on using a...

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    All data goes bad (up to 25% per year), whether due to data entry errors or the simple fact that consumers change jobs, move, update email addresses, marry, etc. At Melissa, we help companies harness the value of their Big Data, legacy data, and people data (names, addresses, phone numbers, and emails) to drive insight, maintain data quality, and support global intelligence.

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